Machine Learning Machine Learning
Found 6 free book(s)
Software Engineering for Machine Learning: A Case Study
www.microsoft.comfor integrating machine learning into application and platform development. 2)A set of best practices for building applications and platforms relying on machine learning. 3)A custom machine-learning process maturity model for assessing the progress of software teams towards excel-lence in building AI applications.
Hidden Technical Debt in Machine Learning Systems
papers.nips.ccMachine learning offers a fantastically powerful toolkit for building useful com-plex prediction systems quickly. This paper argues it is dangerous to think of these quick wins as coming for free. Using the software engineering framework of technical debt, we find it is common to incur massive ongoing maintenance costs in real-world ML systems.
CERTIFICATE PROGRAMME IN DATA SCIENCE & …
home.iitd.ac.ininclude machine learning, optimisation, model-based control, fault detection and diagnosis. His research work has been published in various notable international peer-reviewed journals and presented in leading conferences. Dr Agam Gupta is a …
Machine Learning Basics: Estimators, Bias and Variance
cedar.buffalo.eduDeep Learning Topics in Basics of ML Srihari 1. Learning Algorithms 2. Capacity, Overfitting and Underfitting 3. Hyperparameters and Validation Sets 4. Estimators, Bias and Variance 5. Maximum Likelihood Estimation 6. Bayesian Statistics 7. Supervised Learning Algorithms 8. Unsupervised Learning Algorithms 9.
Machine Learning Yearning is a
www.deeplearning.aiMachine learning is the foundation of countless important applications, including web search, email anti-spam, speech recognition, product recommendations, and more. I assume that you or your team is working on a machine learning application, and that you want to make rapid progress. This book will help you do so.
Machine Learning Basic Concepts - edX
courses.edx.orgMachine Learning, Data Science, Data Mining, Data Analysis, Sta-tistical Learning, Knowledge Discovery in Databases, Pattern Dis-covery. Data everywhere! 1. Google: processes 24 peta bytes of data per day. 2. Facebook: 10 million photos uploaded every hour. 3. Youtube: 1 hour of video uploaded every second.